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Computer Vision: Evolution And Promise

Thomas S. Huang • CERN Document Server (European Organization for Nuclear Research) (1996)

In this paper we give a somewhat personal and perhaps biased overview of the field of Computer Vision.First, we define computer vision and give a very brief history of it.Then, we outline some of the reasons why computer vision is a very di...

OPENALEX Open Access DOI: https://doi.org/10.5170/cern-1996-008.21

Secured Perimeter with Electromagnetic Detection and Tracking with Drone Embedded and Static Cameras

Pedro Teixidó, Juan Antonio Gómez-Galán, Rafael Caballero, Francisco J. Pérez-Grau et al. • Sensors (2021)

Perimeter detection systems detect intruders penetrating protected areas, but modern solutions require the combination of smart detectors, information networks and controlling software to reduce false alarms and extend detection range. The ...

DOAJ Open Access (DOAJ) DOI: 10.3390/s21217379

Enhancing image caption generation through context-aware attention mechanism

Ahatesham Bhuiyan, Eftekhar Hossain, Mohammed Moshiul Hoque, M. Ali Akber Dewan • Heliyon (2024)

Image captioning, the process of generating natural language descriptions based on image content, has garnered attention in AI research for its implications in scene understanding and human-computer interaction. While much prior research ha...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.heliyon.2024.e36272

Addressing practical challenge of using autopilot drone for asphalt surface monitoring: Road detection, segmentation, and following

Hormazd Ranjbar, Perry Forsythe, Alireza Ahmadian Fard Fini, Mojtaba Maghrebi et al. • Results in Engineering (2023)

According to the recent world bank report, around 80% of a life-cycle cost of a road is devoted to maintenance which includes monitoring and repair processes. To more effectively keep road serviceability, knowing the current status of road ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.rineng.2023.101130

Computer vision: algorithms and applications

Richard Szeliski • Choice Reviews Online (2011)

Humans perceive the three-dimensional structure of the world with apparent ease. However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old ...

OPENALEX DOI: https://doi.org/10.5860/choice.48-5140

Face hallucination based on cluster consistent dictionary learning

Minqi Li, Xiangjian He, Kin‐Man Lam, Kaibing Zhang et al. • IET Image Processing (2021)

Abstract Face hallucination is a super‐resolution technique specially designed to reconstruct high‐resolution faces from low‐resolution faces. Most state‐of‐the‐art algorithms leverage position‐patch prior knowledge of human faces to better...

DOAJ Open Access (DOAJ) DOI: 10.1049/ipr2.12269

An Overview of Neural Network

Mohaiminul Islam, Guorong Chen, Shangzhu Jin • American Journal of Neural Networks and Applications (2019)

Neural networks represent a brain metaphor for information processing. These models are biologically inspired rather than an exact replica of how the brain actually functions. Neural networks have been shown to be very promising systems in ...

OPENALEX cc-by DOI: https://doi.org/10.11648/j.ajnna.20190501.12

The Dynamic Properties of a Brain Network During Spatial Working Memory Tasks in College Students With ADHD Traits

Kyoung-Mi Jang, Myung-Sun Kim, Do-Won Kim • Frontiers in Human Neuroscience (2020)

This study investigated deficits of spatial working memory in college students with attention-deficit/hyperactivity disorder (ADHD) traits using event-related potentials (ERPs) and the spatial 2-back task. We also computed sensory-level act...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnhum.2020.580813

SPIKING NEURAL NETWORKS

Samanwoy Ghosh‐Dastidar, Hojjat Adeli • International Journal of Neural Systems (2009)

Most current Artificial Neural Network (ANN) models are based on highly simplified brain dynamics. They have been used as powerful computational tools to solve complex pattern recognition, function estimation, and classification problems. A...

OPENALEX DOI: https://doi.org/10.1142/s0129065709002002

Predicting air quality index using artificial neural network: a case study of the Coimbatore region

P. Jagadesh, J. Harshini, D. Arul, Solomon Oyebisi et al. • Discover Civil Engineering (2026)

Abstract This study predicts the Air Quality Index (AQI) in the Coimbatore region using Artificial Neural Networks (ANN) to enhance air quality management and environmental science. The researchers measured six input variables over a two-ye...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44290-026-00423-z

Logical Reasoning Based on Residual Attention Multi-scale Relation Network

XIONG Zhongmin, ZENG Qi, LU Peng, WANG Zhenhua, ZHENG Zongsheng • Jisuanji gongcheng (2023)

Logical reasoning is the ability to perceive patterns and connections between visual elements. Endowing computers with human-like reasoning ability is a critical area of research;state-of-the-art deep neural networks have achieved superhuma...

DOAJ Open Access (DOAJ) DOI: 10.19678/j.issn.1000-3428.0064591

Humanized substitutions of Vmat1 in mice alter amygdala-dependent behaviors associated with the evolution of anxiety

Daiki X. Sato, Yukiko U. Inoue, Nahoko Kuga, Satoko Hattori et al. • iScience (2022)

Summary: The human vesicular monoamine transporter 1 (VMAT1) harbors unique substitutions (Asn136Thr/Ile) that affect monoamine uptake into synaptic vesicles. These substitutions are absent in all known mammals, suggesting their contributio...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.isci.2022.104800

On the character of consciousness

Arto eAnnila • Frontiers in Systems Neuroscience (2016)

The human brain is a particularly demanding system to infer its nature from observations. Thus, there is on one hand plenty of room for theorizing and on the other hand a pressing need for a rigorous theory. We apply statistical mechanics o...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnsys.2016.00027

Overview of Artificial Neural Networks

Jinming Zou, Yi Han, Sung‐Sau So • Methods in molecular biology (2008)

The artificial neural network (ANN), or simply neural network, is a machine learning method evolved from the idea of simulating the human brain. The data explosion in modem drug discovery research requires sophisticated analysis methods to ...

OPENALEX DOI: https://doi.org/10.1007/978-1-60327-101-1_2